Table 12 provides users' views on the personalized aspects of e-commerce strategies in wealth management systems. Each indicator is evaluated based on weighted average (WM), which is the average rating from users and classified based on visual importance (VI) rating and relative ranking (Rank).<br>The following are the analysis results of various indicators in Table 12:<br>The weighted average of personalized recommendations is 2.79, which is 4.5 compared to the lowest ranking. This score falls within the "agree" range, indicating that people generally agree that the website provides personalized suggestions, although it is not one of the highest rated features. Badotra and Sundas' two factor theory emphasizes the role of motivational factors in improving personal satisfaction (2021). Personalized advice can serve as a motivational factor, increasing user satisfaction with services by satisfying their sense of achievement and recognition. According to Bielozorov, Bezbradica, and Helfert's (2019) marketing theory, Meeting consumer needs is the core of marketing. Personalized recommendations can better meet the unique needs of users and provide more accurate services.<br>The weighted average of tailored content and resources (the content and resources on our wealth management system website are tailored to my specific needs and interests) is 2.83, ranking third. This score is also within the 'agree' range, indicating that users can recognize and value customized content
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